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Efficient hybrid method for solving special type of nonlinear partial differential equations
Author(s) -
Singh Inderdeep,
Kumar Sheo
Publication year - 2018
Publication title -
numerical methods for partial differential equations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.901
H-Index - 61
eISSN - 1098-2426
pISSN - 0749-159X
DOI - 10.1002/num.22227
Subject(s) - mathematics , nonlinear system , partial differential equation , numerical partial differential equations , first order partial differential equation , separable partial differential equation , ordinary differential equation , mathematical analysis , method of characteristics , stochastic partial differential equation , haar wavelet , differential equation , differential algebraic equation , wavelet , discrete wavelet transform , wavelet transform , computer science , physics , quantum mechanics , artificial intelligence
In this article, an efficient hybrid method has been developed for solving some special type of nonlinear partial differential equations. Hybrid method is based on tan h –cot h method, quasilinearization technique and Haar wavelet method. Nonlinear partial differential equations have been converted into a nonlinear ordinary differential equation by choosing some suitable variable transformations. Quasilinearization technique is used to linearize the nonlinear ordinary differential equation and then the Haar wavelet method is applied to linearized ordinary differential equation. A tan h –cot h method has been used to obtain the exact solutions of nonlinear ordinary differential equations. It is easier to handle nonlinear ordinary differential equations in comparison to nonlinear partial differential equations. A distinct feature of the proposed method is their simple applicability in a variety of two‐ and three‐dimensional nonlinear partial differential equations. Numerical examples show better accuracy of the proposed method as compared with the methods described in past. Error analysis and stability of the proposed method have been discussed.